AIM: To explore the therapeutic effect of oral Xuefu Zhuyu Pill combined with intravitreal injection of aflibercept in the treatment of retinal vein occlusion(RVO).METHODS: A total of 80 patients(80 eyes)with RVO admitted to our hospital from January 2021 to March 2024 were prospectively selected. According to the treatment method, they were divided into a control group of 40 patients treated with intravitreal injection of aflibercept, and an observation group of 40 patients treated with oral Xuefu Zhuyu Pill combined with intravitreal injection of aflibercept. The efficacy, TCM syndrome score, retinal microcirculation parameters, macular edema(ME), and adverse reactions were compared between the two groups of patients in the treatment of RVO.RESULTS: All patients have completed follow-up. The clinical effective rate of the observation group after treatment was 95%, obviously higher than that of the control group(80%; χ2=4.114, P=0.043). After treatment for 3 mo, the traditional Chinese medicine syndrome scores, foveal avascular area(FAZ)area, FAZ circumference, macular central retinal thickness, and neovascularization leakage area of both groups decreased, the overall blood flow density of the superficial capillary plexus(SCP)and deep capillary plexuses(DCP)increased, and the observation group showed better results than the control group(all P<0.05). There was no statistically significant difference in the occurrence of adverse reactions between the two groups during the treatment period(P>0.05).CONCLUSION: Oral administration of Xuefu Zhuyu Pill combined with intravitreal injection of aflibercept in the treatment of RVO can improve retinal microcirculation, enhance vision, restore ocular blood circulation, improve bleeding, promote ME absorption, and improve clinical efficacy.

Beta-amylases (BAMs), key enzymes in starch hydrolysis, play an important role in plant growth, development, and resistance to abiotic stress. To mine the saline-alkali tolerance-related BAM genes in alfalfa (Medicago sativa L.), we identified MsBAM genes in the whole genome. The physicochemical properties, phylogeny, gene structures, conserved motifs, secondary structures, promoter cis-acting elements, chromosome localization, and gene replication relationships of BAM gene family members were analyzed. RNA-seq and quantitative real-time PCR (qRT-PCR) were employed to analyze the expression patterns of BAM family members under saline-alkali stress. The results showed that 54 BAM genes were identified in the genome, which were classified into 8 subgroups according to the phylogenetic tree. The members of the same subgroup had similar gene structures except that those of subgroups 1 and 7 had large differences. Conserved motif analysis showed that all MsBAM proteins had a typical glycohydrolysis domain. The chromosome localization analysis showed that MsBAM gene family members were unevenly distributed on 27 chromosomes. The duplication of gene segments led to the increase in BAM gene number in alfalfa. The promoters of BAM genes contained a large number of elements in response to plant hormones and stress. Transcriptome data and qRT-PCR results showed that the expression levels of most MsBAM genes were up-regulated in response to saline-alkali stress. Under the saline-alkali stress, the expression levels of 28 genes, including MsBAM6, were up-regulated on days 1 and 7, and those of 5 genes, including MsBAM9, were up-regulated by over 2 folds. In addition, under salt-alkali stress, BAM activity and soluble sugar content were significantly increased. These results indicate that BAM genes play a key role in alfalfa in response to saline-alkali stress, laying a foundation for further research in this field.
Medicago sativa/physiology* ; beta-Amylase/metabolism* ; Phylogeny ; Gene Expression Regulation, Plant ; Stress, Physiological/genetics* ; Multigene Family ; Alkalies ; Plant Proteins/genetics*

Objective Fasting hypometabolism regulation technology has broad application potential in long-term space flight and survival in extreme extraterrestrial environments.In-depth research on the substrate conversion of energy metabolism and the formation of new steady states under fasting hypometabolism will provide theoretical basis and experimental data support for formulating effective prolonged fasting application mode.Methods 30 SD rats were randomly divided into control group and fasting group(fasting for 1,2,3,and 5 days).Blood biochemical examination,qRT-PCR,and western blotting were performed to analyze the body weight,blood biochemistry,and expression changes of genes and proteins related to glucose and lipid metabolism during different fasting periods.Results Prolonged fasting significantly reduced the body weight,blood glucose,and triglyceride levels of rats;increased the blood ketone level,and replaced glucose as the main energy substance in the body.There are temporal and tissue-specific changes as a whole.Hepatic and renal gluconeogenesis play major roles respectively during different fasting periods.As the fasting time prolongs,the level of hepatic gluconeogenesis gradually decreases,the content of FFA in the blood increases,the expression level of genes related to fat synthesis decreases,fatty acid oxidation is enhanced,and the expression level of the key gene HMGCS2 for ketone body generation increases.Conclusion During prolonged fasting,there is a significant conversion of glucose-ketone energy supply substrates,and a new steady state of energy metabolism mainly supplied by ketone bodies is formed within 2-5 days of fasting.The body maintains a low metabolic state by regulating changes in key genes in pathways such as glucose and lipid metabolism.

With the rapid development of information technology,digitization of education has become an important driving force to promote education reform.In the education system of medical colleges,the construction and imple-mentation of professional curriculum courses play an important role in the cultivation of qualified medical talents.Emergence of education digitization has brought unprecedented opportunities but also some challenges to the curric-ulum construction by teachers in medical school.This paper aims to explore how to effectively promote construction of professional curriculums with information technology(IT)guided by education digitization strategy and to recom-mend a series of methods in terms of strategy implementation in medical schools.

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective To evaluate an ultrasound-based deep learning radiomics nomogram(DLR_Nomo-gram)for non-invasively differentiating between type Ⅰ and type Ⅱ epithelial ovarian cancer(EOC)before surgery.Methods In this study,a cohort of 195 patients diagnosed with EOC was analyzed.Participants were randomly divided into a training set and a testing set at an 8∶2 ratio.Following data preprocessing,region of interest(ROI)delineation,feature extraction and selection,as well as the clipping and extraction of the maximum section sonogram for each sample,three initial models were developed:the radiomics signature(Rad_Sig),the deep transfer learning signature(DTL_Sig),and the clinical signature(Clinic_Sig).Subsequently,an integrated model—referred to as the DLR_Nomogram—was constructed by combining Rad_Sig,DTL_Sig,and Clinic_Sig,and was presented in the form of a nomogram.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve and the corresponding area under the curve(AUC).Results In the testing set,the DLR_Nomogram demonstrated superior predictive performance(AUC:0.951,95%CI:0.876～1.000)compared to Rad_Sig(AUC:0.709,95%CI:0.539～0.880),DTL_Sig(AUC:0.842,95%CI:0.712～0.972),and Clinic_Sig(AUC:0.916,95%CI:0.827～1.000).The Hosmer-Lemeshow goodness-of-fit test for the DLR_Nomogram resulted in a p-value exceeding 0.05,indicating adequate model calibration.Moreover,decision curve analysis revealed that the DLR_No-mogram offers a higher net clinical benefit across a defined range of threshold probabilities.Conclusions The ultrasound-based DLR_Nomogram exhibits a robust ability to differentiate between Type Ⅰ and Type Ⅱ EOC,and may serve as a valuable clinical tool for guiding individualized preoperative diagnostic and therapeutic decision-making.

OBJECTIVE: To summarize the research progress of suture augmentation (SA) in anterior cruciate ligament (ACL) reconstruction. METHODS: A comprehensive review of recent literature about SA in ACL reconstruction at home and abroad was conducted. The efficacy of SA in ACL reconstruction was evaluated by examining the definition, biomechanics, and histological studies of SA, along with its clinical application status in ACL reconstruction. RESULTS: SA demonstrates significant advantages in enhancing the biomechanical stability of ACL grafts, reducing the risk of re-rupture, and accelerating postoperative recovery. Specifically, SA improves graft stiffness, ultimate failure strength, and cyclic stability, thereby diminishing the risk of early postoperative failure and joint instability. Histologically, it fosters remodeling and tendon-bone integration through early load-sharing mechanisms; however, stress shielding may interfere with natural remodeling processes, warranting further attention. Clinically, SA reduces graft failure rates and the need for revision surgeries, markedly improving knee joint stability and functional recovery in young patients. Nevertheless, its impact on graft maturation and potential complications remains controversial. CONCLUSION Despite the many advantages of SA in ACL reconstruction, future endeavors should focus on optimizing tensioning techniques, developing bioactive materials, and conducting large-scale randomized controlled trials to further elucidate its clinical value and scope of applicability, providing a more reliable solution for ACL reconstruction.
Humans ; Anterior Cruciate Ligament Reconstruction/methods* ; Biomechanical Phenomena ; Anterior Cruciate Ligament/surgery* ; Anterior Cruciate Ligament Injuries/surgery* ; Suture Techniques ; Sutures ; Tendons/transplantation* ; Joint Instability/prevention & control* ; Knee Joint/surgery*

Objective To explore the current status of medical technology anxiety experienced by elder-ly patients during the use of digital healthcare technology and its influencing factors.Methods A convenience sampling method was used to select 552 elderly patients from 10 hospitals in Liaoning Province as study sub-jects.A cross-sectional survey was conducted using the technology anxiety scale,ehealth literacy scale,self-ef-ficacy scale,and family APGAR index.Results The smart healthcare medical technology anxiety scale score for older patients was(44.93±14.30)points,and the ehealth literacy scale score was(25.29±9.61)points.Smart healthcare medical technology anxiety in older patients was negatively correlated with ehealth literacy,self-efficacy,and family care index(r=-0.299,-0.336,-0.304,P<0.01).Multiple linear regression showed that age,education level,living situation,monthly income,household registration,presence of chronic disease,ehealth literacy,self-efficacy,and family care index were influencing factors for smart healthcare medi-cal technology anxiety in older patients(P<0.05),collectively explaining 35.8%of the variance.Conclusion Ol-der patients exhibit a moderate-to-high level of smart healthcare medical technology anxiety,while their ehealth litera-cy remains at a low level.